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How much does it cost? In retrospect, of the projects that you pulled the plug on, what percent do you wish had been allowed to keep going, and what percent do you wish had ended earlier? What are the costs of reform? How is the way you as the leader think and process information affecting your organizational culture? Who needs to know about Data de-duplication? This premium Data De Duplication self-assessment will make you the dependable Data De Duplication domain auditor by revealing just what you need to know to be fluent and ready for any Data De Duplication challenge. How do I reduce the effort in the Data De Duplication work to be done to get problems solved? How can I ensure that plans of action include every Data De Duplication task and that every Data De Duplication outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data De Duplication costs are low? How can I deliver tailored Data De Duplication advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data De Duplication essentials are covered, from every angle: the Data De Duplication self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data De Duplication outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data De Duplication practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data De Duplication are maximized with professional results. Your purchase includes access details to the Data De Duplication self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data De Duplication Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
How likely is it that a customer would recommend your company to a friend or colleague? What are hidden Data Duplication quality costs? Would you recognize a threat from the inside? What are strategies for increasing support and reducing opposition? How do senior leaders actions reflect a commitment to the organizations Data Duplication values? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data Duplication investments work better. This Data Duplication All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data Duplication Self-Assessment. Featuring 952 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Duplication improvements can be made. In using the questions you will be better able to: - diagnose Data Duplication projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data Duplication and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Duplication Scorecard, you will develop a clear picture of which Data Duplication areas need attention. Your purchase includes access details to the Data Duplication self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Duplication Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
In the age of data science, the rapidly increasing amount of data is a major concern in numerous applications of computing operations and data storage. Duplicated data or redundant data is a main challenge in the field of data science research. Data Deduplication Approaches: Concepts, Strategies, and Challenges shows readers the various methods that can be used to eliminate multiple copies of the same files as well as duplicated segments or chunks of data within the associated files. Due to ever-increasing data duplication, its deduplication has become an especially useful field of research for storage environments, in particular persistent data storage. Data Deduplication Approaches provides readers with an overview of the concepts and background of data deduplication approaches, then proceeds to demonstrate in technical detail the strategies and challenges of real-time implementations of handling big data, data science, data backup, and recovery. The book also includes future research directions, case studies, and real-world applications of data deduplication, focusing on reduced storage, backup, recovery, and reliability. Includes data deduplication methods for a wide variety of applications Includes concepts and implementation strategies that will help the reader to use the suggested methods Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable methods for their applications Focuses on reduced storage, backup, recovery, and reliability, which are the most important aspects of implementing data deduplication approaches Includes case studies
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Effective Data Integration A Complete Guide - 2020 Edition.
The Insider's Guide to Data Deduplication is a journey inside the development of NetApp deduplication. Written in an entertaining, conversational style, this book provides deep understanding of how deduplication has developed into a driving force in the data storage industry today. The author recounts his own insider experiences as NetApp deduplication matured from a minor feature to a major influence in storage technology. Technologies that work synergistically with deduplication are also described in full detail. Delving into the novice, intermediate, and expert domains of data deduplication, the following topics are discussed: * Data deduplication Primer * Global deduplication * Deduplication hashing * Source vs. target deduplication * Inline vs. post-processing deduplication * Deduplication and its interaction with FlexClone, SnapMirror, and SnapVault * Using the Space Savings Estimation Tool (SSET) to predict deduplication savings * Using AutoSupport to measure the effectiveness of deduplication * A glimpse into the future of deduplication Included in this book is a Glossary of Deduplication Terms as defined by the Storage Networking Industry Association (SNIA), in which the author was a key contributor. This book is a "must-read" for anyone interested in the inner workings of NetApp deduplication, or for anyone interested in learning more about the evolution of this important data storage technology.
Data Normalization A Complete Guide - 2020 Edition.
The proven Study Guide that prepares you for this new Google Cloud exam The Google Cloud Certified Professional Data Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Professional Data Engineer certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data Engineer Study Guide is your ace in the hole for deploying and managing analytics and machine learning applications. Build and operationalize storage systems, pipelines, and compute infrastructure Understand machine learning models and learn how to select pre-built models Monitor and troubleshoot machine learning models Design analytics and machine learning applications that are secure, scalable, and highly available. This exam guide is designed to help you develop an in depth understanding of data engineering and machine learning on Google Cloud Platform.